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Ready to reshape a data platform from the ground up? Join Us!
As a leading AWS Partner in Europe, we support organizations at every stage of their cloud journey. Our strength comes from deep experience in cloud-native architectures. By joining our Data & AI team, you'll design and build scalable data platforms on AWS, work hands-on with the modern data stack, and directly shape how businesses in regulated industries process, store, and make sense of their data.
You won't be locked into one project. Our projects range from greenfield builds to re-architecting existing platforms, from small two-week engagements to multi-year deliveries, across several industries. Some weeks you design a data lake from scratch, other weeks you migrate an orchestration layer or tune a warehouse. What stays constant is ownership: we work in a "we build it, we run it" model, so every engineer deploys their own solutions to production without handing off to anyone else.
The stack you'll work with
We pick tools per project, but this is the technology you'll typically touch:
Data Warehouse / Lakehouse architectures on AWS alongside streaming and batch pipelines
Data Warehouses and query engines: Amazon Redshift, Amazon Athena, Amazon S3 Tables, Snowflake, ClickHouse, and other AWS-native data services
Airflow (AWS MWAA) and AWS Step Functions for orchestration
Apache Kafka and Amazon Kinesis for streaming
Debezium for CDC
dltHub for ingestion, dbt with Cosmos (ELT) or Apache Spark (ETL) for data transformations
Amazon ECS and EKS for running application workloads
OpenMetadata for metadata and data lineage
Terraform for infrastructure as code
Your responsibilities:
Design, implement and maintain Data Lakehouse and Warehouse architectures on AWS
Build and maintain ELT pipelines using dbt, dltHub, and Airflow
Design orchestration and migrate between orchestration layers when needed
Ensure data quality, observability, and lineage across the platform
Deploy your own solutions to production, no handoffs, full ownership
Collaborate with a small engineering team and contribute to technical decisions
Requirements:
2/3+ years in data engineering with production-grade delivery
Hands-on experience with dbt and at least one modern orchestration tool (Airflow preferred)
Solid Python skills and experience building and operating data pipelines
Familiarity with data lake / data lakehouse concepts (Apache Iceberg) and batch/streaming architectures
Experience with at least one modern warehouse or query engine
Comfort with Infrastructure as Code (Terraform or similar)
High agency: you get a goal, not a step-by-step list, and you organize your own work to deliver it. You don't wait to be told what to do next
Fluency in both English (C1) and Polish (C1), written and spoken
Nice to have:
Experience with Kafka, Debezium, or other CDC tooling
Familiarity with dltHub or similar ingestion frameworks
Hands-on experience with Amazon Redshift or any different data warehouse technology
Background with OpenMetadata or other data catalog/governance tools
What we offer:
B2B contract 13500-22000 zł net/mandate contract 13500-22000 zł gross,
Continuous learning and growth – we invest in your development through internal training, knowledge-sharing sessions, and hands-on learning from real projects. We also support growth beyond the organization by actively engaging in the AWS Community, including conference talks and industry events.
Training budget – dedicated funds to support certifications, courses, and professional development aligned with your career goals.
Medical care package – comprehensive private healthcare to help you stay healthy and focused.
Multisport card co-financing – because staying active matters, both in and outside of work.
Language learning platform access – improve your language skills at your own pace, whenever it suits you.
Flexible working hours & remote work – work when and where you’re most productive.
Company events – time for integration and some fun.
Stay up to date with us: Follow our blog regularly and participate in the events we organize.
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